# A Neural Network Study of Blasius Equation

arXiv: https://arxiv.org/abs/1811.08936 · HTML: https://mlsanity.com/paper/1811.08936/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Nov 2018.

## Built on by (most cited first, 2 of 2)

- [Physics-informed Neural Networks approach to solve the Blasius function](https://mlsanity.com/paper/2301.00106/) (2022)
- [Physics-Informed Classical and Quantum Neural Networks for One-Dimensional Schrodinger Eigenvalue Problems](https://mlsanity.com/paper/2609.22189/) (2026)

## Abstract (arXiv)

In this work we applied a feed forward neural network to solve Blasius equation which is a third-order nonlinear differential equation. Blasius equation is a kind of boundary layer flow. We solved Blasius equation without reducing it into a system of first order equation. Numerical results are presented and a comparison according to some studies is made in the form of their results. Obtained results are found to be in good agreement with the given studies.